Data Scientist

Our Company

SAVii was founded in 2017 as SAVii PH, since then, we have been revolutionizing the employee wellness landscape. Our primary goal is to transform lives everyday by offering 360° salary linked wellness services in emerging markets. We currently operate in the Philippines and India.

Through our employee benefits platform, we empower HR leaders with 360 degree salary linked financial wellness services that elevate team members personally and professionally. Fast forward to today, we are now the category leader in our pioneer market of the Philippines. We are always here to transform lives with you. Together, let’s make financial power at work a reality.

Our Culture

SAVii is all about people. We aim to transform lives everyday for our customers and our own team members. We promote a culture of people-centricity, engage deeply with our SAViiers and encourage everyone to bring their whole selves to work. Each member of our team has something unique to contribute, so we naturally embrace your individuality and recognize your unique perspective as an important catalyst of positive change. We are a remote-first organization, we work where we feel happy and productive. Beyond the monetary aspect, we offer a plethora of enabling benefits enhancing your personal and professional life. In SAVii, we Think Fast, and execute faster.

Our Values

Excellence is an Attitude. We are Licensed to Dare so that everyone can Learn and Succeed. Our shared culture of respect and Fast Executions are built on Integrity and knowing we are Stronger Together.

Our Commitment

SAVii is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all our SAViiers. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability and age. We believe that diversity in talent invites more opportunities for innovation that leads us to our goal to Transform Lives Everyday. As part of our commitment to a diverse and inclusive workplace, we strongly encourage individuals from all walks of life to apply.

About the role

As a Data Scientist, you will collaborate building and implementing predictive models and automate decision-making. Overall, this role is responsible for designing machine learning systems, which involves assessing and organizing data, executing tests and experiments, and generally monitoring and optimizing machine learning processes to help develop strong performing machine learning systems. You will work on varied subjects across the organization across different data models and stakeholders.

• Designing, developing, and researching Machine Learning systems, models, and schemes
• Training and retraining ML systems and models as needed. 
• Verifying data quality and/or ensuring it via data cleaning for training data.
• Deploying models in the production environment
• Performing statistical analysis and using results to improve models
• Identifying differences in data distribution that could affect model performance in real-world situations
• Monitoring model performance vs basic statistical methods for cost-benefit analysis as well as deployment performance and adherence to specifications
• Produce and maintain all documentation related to data models or analysis

• Minimum 3 years experience as a Data Scientist or related field (ML Engineer, Statistician)
• Deep analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Experience in data mining, statistical methods, machine-learning or operations research
• Extensive experience in SQL, Python and its related libraries (Pandas, Scikit-learn).
• Experience in building Data Science pipeline from data collection to model training & deployment.
• Experience in deploying machine learning models, decision trees, survival analysis, time series analysis, neural network.
• Excellent communication and presentation skills

• Background in Mathematics, probability, statistics; Master’s degree in Data Science is preferred
• Knowledge of TensorFlow, Spark and Hadoop is also preferred